cPacket announced AI-powered enhancements to its Unified Observability Platform to modernize network, security and compliance workflows in complex and high-performance enterprise networks.
Offering 360-degree visibility and relevant insights, cPacket’s platform can dramatically accelerate the detection, troubleshooting, and resolution of critical issues before they impact business, safety, or user experience.
cPacket’s flagship AI insights and workflows are designed to bring much-needed clarity and efficiency to network observability. The new cPacket Insight Engine uses unsupervised machine learning to establish baselines, correlate anomalies, and surface the most critical insights – explaining what happened, when it happened, where it happened, and why it happened. Engineers can quickly discover, understand and act upon these insights with a set of agentic workflows and queries with the large language model (LLM) of their choice.
cPacket’s Unified Observability Platform delivers complete visibility, insights and scalability across on-premises, hybrid, and multi-cloud networks. cPacket captures and inspects every packet at line rate with nanosecond precision – providing the ultimate source of truth for observability. Trillions of packets are curated into context-rich metadata and session metrics that fuel the Insight Engine. Compared to other anomaly detection techniques, every cPacket AI insight is backed by high-fidelity packet data and can be validated in cPacket dashboards or third-party tools like Grafana.
“The AI era demands a new approach to observability – one that uses the richest data to deliver trustworthy insights,” said Brendan O’Flaherty, CEO of cPacket. “Unlike black box approaches, our AI-powered insights are easy to understand, verify and act upon. This builds trust by enabling teams to consistently anticipate disruptions, detect threats earlier, and resolve incidents in minutes, not days.”
By prompting the LLM of their choice, all levels of engineers can quickly tap into the data and insights from cPacket’s observability platform without toggling between multiple dashboards and tools. This context-rich information can also be fed into customers’ existing IT Service Management (ITSM) and Extended Detection and Response (XDR) tools, which can shorten Mean Time to Resolution (MTTR) and deliver more consistent workflows across the enterprise. This is made possible by cPacket’s open and flexible architecture, which uses open APIs, Model Context Protocols (MCPs) and agentic frameworks to integrate with the observability ecosystem.
cPacket’s Unified Observability Platform is designed to deliver long-term value and flexibility by:
- Compounding ROI: Greater operational efficiency today, followed by proactive, preventative and automated workflows over time.
- Democratizing access to packet data: Standardizing access to high-fidelity data as tools and use cases evolve.
- Keeping pace with faster networks: Supporting up to 400Gbps hybrid observability today, and scaling to support next-gen speeds for tomorrow’s always-on AI workloads.
- Maintaining compliance: Aligning with enterprise data sovereignty and AI policies, as well as audit-ready forensics to satisfy the most rigorous external requirements.
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